| Autor: |
Jaime Cerda, Vanina Cafaro, Diego Carlos Cafaro, Pedro Carlos Pautasso |
| Rok vydání: |
2017 |
| Předmět: |
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| DOI: |
10.1016/b978-0-444-63965-3.50222-1 |
| Popis: |
This work introduces a mixed-integer nonlinear programming (MINLP) formulation based on a hybrid approach, combining the potentials of slot-based and general precedence continuous-time representations. We use general precedence sequencing variables to coordinate incoming/outgoing flows to/from every tank, and simultaneously address the scheduling of a long-distance pipeline supplying crude oil batches from harbour to refinery tanks, following a slot-based scheme. The model is able to precisely monitor key component concentrations keeping oil properties within admissible ranges. One of the most important decisions is how to manage oil shipments so as to improve logistics efficiency. Results show that the use of slot-based frameworks combined with general precedence variables for sequencing tasks in linking resources yields orders-of-magnitude savings in the computational effort to reduce costs and find optimal solutions. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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